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  • Predicting IMDb Rating of Movies by Machine Learning Techniques 
    Bristi, Warda Ruheen; Zaman, Zakia; Sultana, Nishat (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Film Industry is not only a industry or a centre of entertainment, rather it is now a centre of global business. All over the world is now excited about a movie's box office success, popularity etc. A huge data is available ...
  • Predicting Innovation Capability through Knowledge Management in the Banking Sector 
    Edeh, Friday Ogbu; Zayed, Nurul Mohammad; Nitsenko, Vitalii; Yermolenko, Olha Brezhnieva-; Negovska, Julia; Shtan, Maryna (Daffodil International University, 2022-07-17)
    Purpose: The purpose of this study was to investigate the effects of knowledge management on innovation capability in the banking sector. Research methodology: Cross-sectional research design was employed in this study as ...
  • Predicting Insomnia Using Multilayer Stacked Ensemble Model 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha (Scopus, 2021)
    Different forms of sleep disorders have become major health problems among people around the world, and insomnia is one of them. It is a physical condition in which a person faces difficulties to fall asleep at night. It ...
  • Predicting Performance Analysis of Garments Women Working Status in Bangladesh Using Machine Learning Approaches 
    Keya, Maria Sultana; Emon, Minhaz Uddin; Akter, Himu; Imran, Md. Al Mahmud; Hassan, Md. Kamrul; Mojumdar, Mayen Uddin (2021 6th International Conference on Inventive Computation Technologies (ICICT), IEEE, 2021-02-26)
    Maria Sultana Keya, Minhaz Uddin Emon, Himu Akter, Md. Al Mahmud Imran, Md. Kamrul Hassan, Mayen Uddin Mojumdar Abstract: In Bangladesh, the garment industry has played an important role in economically uplifting a ...
  • Predicting Satisfaction of Online Banking System in Bangladesh by Machine Learning 
    Shetu, Syeda Farjana; Jahan, Israt; Islam, Mohammad Monirul; Hossain, Refath Ara; Moon, Nazmun Nessa; Nur, Fernaz Narin (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    Online banking refers to using your smartphone, tablet, or another internet-connected computer to browse and access your bank account. It is quick and free, and it usually allows you to perform a variety of activities, ...
  • Predicting Students 
    Zulfiker, Md. Sabab; Kabir, Nasrin; Biswas, Al Amin; Chakraborty, Partha; Rahman, Md. Mahfujur (Scopus, 2020)
    Every year thousands of students get admitted into different universities in Bangladesh. Among them, a large number of students complete their graduation with low scoring results which affect their careers. By predicting ...
  • Predicting Students' Intention To Continue Business Courses on Online Platforms During the COVID-19 
    Unknown author (Scopus, 22-09-22)
    The objective of this study was to analyze the intention of a University's business department students to continue their studies on e-learning platforms during the ongoing COVID-19 pandemic. To this end, a questionnaire ...
  • Predicting the Appropriate Category of Bangla and English Books for Online Book Store Using Deep Learning 
    Islam, Md. Majedul; Khushbu, Sharun Akter; Islam, Md. Sanzidul (Scopus, 2021)
    At the era of this technology, we are seeking every stuff online first. Book was the best friend to us, still, it is. But this changed the way and medium by which we are being engaged with the book. Nowadays bookselling ...
  • Predicting the Appropriate Mode of Childbirth using Machine Learning Algorithm 
    Kowsher, Md.; Tahabilder, Anik; Prottasha, Nusrat Jahan; Rakib, Md. Abdur-; Alam, Md. Shameem; Habib, Kaiser (Scopus, 2021)
    —A woman's satisfaction with childbirth may have immediate and long-term effects on her health as well as on the relationship with her newborn child. The mode of baby delivery is genuinely vital to a delivery patient and ...
  • Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms 
    Siddik, Md. Abu Bakkar; Arman, Md. Shohel; Hasan, Afia; Jahan, Mahmuda Rawnak; Islam, Majharul; Biplob, Khalid Been Badruzzaman (Scopus, 2021)
    Road accidents are now a common occurrence in our country. Every year thousands of people die in these accidents and thousands of people are crippled and cursed. Recently the level of road accidents has increased drastically. ...
  • Predicting the Enrollment and Dropout of Students in the Post-graduation Degree Using Machine Learning Classifier 
    Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Nowrin, Itisha; Ritu, Nadia Afrin (International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering & Sciences Publication, 2019-09-08)
    Nowadays, In Bangladesh, the dropout rate at post-graduation level or incompletion of the post-graduation degree is considered as a serious problem in the education sector. This work can be used to support for identifying ...
  • Predicting the Intention and Adoption of Near Field Communication Mobile Payment 
    Malarvizhi, Chinnasamy Agamudainambi; Al Mamun, Abdullah; Jayashree, Sreenivasan; Naznen, Farzana; Abir, Tanvir (Daffodil International University, 2022-04-08)
    With the increasing use of mobile devices and new technologies, electronic payments, such as near field communication (NFC) mobile payments, are gaining traction and gradually replacing the currency-based cash payment ...
  • Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019 
    Moon, Nazmun Nessa; Hossain, Refath Ara; Jahan, Israt; Shakil, Shahriar; Uddin, Shihab; Hassan, Mahmudul; Nu, Fernaz Narin (Daffodil International University, 22-06-18)
    The novel coronavirus disease 2019 (COVID-19) current pandemic is a worldwide health emergency like no other. It is not the only COVID-19 infection in infants, children, and adolescents that is causing concern among their ...
  • Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering 
    Munna, Md.Tahsir Ahmed; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Sarker, Kaushik; Ara, Sheikh Joly Ferdaus (Scopus, 2020)
    In today’s era, most of the people are suffering with chronic diseases because of their lifestyle, food habits and reduction in physical activities. Diabetes is one of the most common chronic diseases which has affected ...
  • Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering 
    Munna, Md. Tahsir Ahmed; Alam, Mirza Mohtashim; Allayear, Shaikh Muhammad; Sarker, Kaushik; Ara, Sheikh Joly Ferdaus (Lecture Notes in Networks and Systems, Springer, 2018-12-06)
    In today’s era, most of the people are suffering with chronic diseases because of their lifestyle, food habits and reduction in physical activities. Diabetes is one of the most common chronic diseases which has affected ...
  • Prediction Model for Self-Assessed Health Status in Flood-Prone Area of Bangladesh 
    Hossain, Md. Kamrul (Scopus, 2020)
    Bangladesh is a frequently affected by river flood and flash flood because of its geographical location. Along with the number of vulnerabilities, flood is cause sever health related problems. Thus objective of this study ...
  • Prediction of Absenteeism at Work using Data Mining Techniques 
    Skorikov, Mikhail; Hussain, Muhammad Abrar; Khan, Mahfujur Rhaman; Akbar, Mohammad Kaosain; Momen, Sifat; Mohammed, Nabeel; Nashin, Taniya (Scopus, 2020)
    High absenteeism among employees can be detrimental to an organization as it can result in productivity and economic loss. This paper looks into a case of absenteeism in a courier company in Brazil. Machine learning ...
  • Prediction of Academic Performance Applying NNs 
    Maitra, Shithi; Eshrak, Sakib; Bari, Md. Ahsanul; Al-Sakin, Abdullah; Munia, Rubana Hossain; Akter, Nasrin; Haque, Zabir (International Journal of Advanced Computer Science and Applications, 2019)
    Automation has made it possible to garner and preserve students’ data and the modern advent in data science enthusiastically mines this data to predict performance, to the interest of both tutors and tutees. Academic ...
  • Prediction of Addiction to Drugs and Alcohol Using Machine Learning 
    Arif, Md. Ariful Islam; Sany, Saiful Islam; Sharmin, Farah; Rahman, Md. Sadekur; Habib, Md. Tarek (International Journal of Electrical and Computer Engineering, 2021)
    Nowadays addiction to drugs and alcohol has become a significant threat to the youth of the society as Bangladesh’s population. So, being a conscientious member of society, we must go ahead to prevent these young minds ...
  • Prediction of Chronic Insomnia using Machine Learning Techniques 
    Islam, Md. Muhaiminul; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Hossain, Syed Akhter (Scopus, 2020)
    The world is changed extremely over the last decade by the power of technology. Consequently, human lives are undergoing multiple changes that have both positive and negative effects on human health. A lot of virtual ...

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